Stellar Classification
Using XGBoost Classifier to predict the class of Interstellar Objects to 98% Accuracy
import numpy as np
import pandas as pd
import bokeh
from autoviz.AutoViz_Class import AutoViz_Class
import matplotlib.pyplot as plt
%matplotlib inline
from pycaret.classification import *
import warnings
warnings.filterwarnings('ignore')
warnings.simplefilter(action='ignore', category=FutureWarning)
stellar = pd.read_csv("star_classification.csv")
stellar.head()
AV = AutoViz_Class()
target = "class"
sep=","
filename = "star_classification.csv"
dft = AV.AutoViz(filename, sep, target, "",
header=0, verbose=0,
lowess=False,chart_format='bokeh',max_rows_analyzed=150000,max_cols_analyzed=30)